Emotional states classification from brain signals
Electroencephalography (EEG) signal analysis is very useful in the assessment of emotion mechanisms. With the study of emotions, it can gradually lead to integration with the Human-Computer Interaction (HCI) systems. In this project, these signals were generated by visual stimuli and are collected....
Saved in:
Main Author: | Lee, Vinson Bing Jun. |
---|---|
Other Authors: | Ser Wee |
Format: | Final Year Project |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/55217 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
EEG based sensing of brain signals : emotional states classification
by: Heah, Dian Chuan.
Published: (2011) -
Brain signals - emotion states i
by: Yeong, Yi Qi
Published: (2014) -
Emotional state classification of brain signals using extreme learning machine (ELM) algorithm
by: Yohanes, Rendi Ein Janvier.
Published: (2012) -
SI and EMI performance of signaling scheme through UTP cable
by: See, Kye Yak, et al.
Published: (2010) -
Preliminary study on humidity effect of solid state lighting (SSL)
by: Xiong, Meng.
Published: (2010)